AI Engineer

🔥 0 minutes ago

🏈 Alabama – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Guidehouse

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Implement AI strategy to increase adoption of AI technologies across the client organization • Coordinate with stakeholders to establish an on-premises AI server • Integrate AI capabilities including prompt orchestration, tool/function calling, embeddings, and fine-tuning into applications and services • Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale • Follow responsible AI practices and security/compliance requirements across commercial and public sector environments • Conduct digital transformation initiatives leveraging AI technologies to improve mission accomplishment and increase operating efficiencies

🎯 Requirements

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance • Bachelor’s degree • EIGHT (8) or more years of professional experience • THREE (3) years of experience in software, data, RAG architecture/vector databases or ML engineering, including building and operating cloud-native services including but not limited to OpenAI, Anthropic, Google Gemini, or AWS Bedrock • TWO (2) years focused specifically on Generative AI/LLM technologies • ONE (1) year optimizing for token efficiency and cost management in production LLM applications, e.g., prompt compression, caching, context window management, and model routing • Ability to write clear documentation and collaborate in cross-functional teams • Experience contributing to client-facing engineering in consulting or product environments • Demonstrated experience deploying and managing on-premises, self-hosted model infrastructure • Experience architecting scalable, hybrid (on-prem + cloud) AI/ML solutions end-to-end, from data pipeline to deployment • Working knowledge of AI security concepts, including adversarial robustness, model access controls, and data protection in restricted environments • Demonstrated expert experience leading development efforts with clear examples of value added to the client • Experience interacting with end-users to understand and document business and functional requirements for complex projects • Experience collaborating with technical teams across the full software development life cycle • Considerable proven knowledge of organizational planning and project management specific to lifecycle development processes • Experience with common data science tools such as R, Python, and MATLAB, with a heavy emphasis on Python

🏖️ Benefits

• Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Position may be eligible for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement, Personal Development & Learning Opportunities • Skills Development & Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend • Flexible benefits package

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